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Found 4 papers, 3 papers with code
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks
Despite recent advancements in deep learning-based automatic colorization, they are still limited when it comes to few-shot learning.
Exploring Unlabeled Faces for Novel Attribute Discovery
Despite remarkable success in unpaired image-to-image translation, existing systems still require a large amount of labeled images.
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment
We present a novel Animation CelebHeads dataset (AnimeCeleb) to address an animation head reenactment.
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution
However, STR models show a large performance degradation on languages with a numerous number of characters (e. g., Chinese and Korean), especially on characters that rarely appear due to the long-tailed distribution of characters in such languages.
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